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The machine learning techniques in the protein structure pbkp_rediction: An approach from bioinformatics

Abstract:

The pbkp_rediction of protein structures remains as a challenge for the scientific community. For the construction of the adequate models, several authors has been explored complex heuristic like the recurrent neural networks, multilayer support vector machines, bio-inspired algorithms or the combination of classifiers, but all these efforts are not enough. In the current manuscript the structure pbkp_rediction methods based on machine learning are discussed. These methods are classified in different taxonomies and also a detailed description of each paradigm is provided, highlighting its advantages and disadvantages. Finally, the current tendencies and the last advances in the research of protein structure pbkp_rediction are showed.